code: def __init__(self, g, in_dim, out_dim, num_heads, merge="cat"):
      super(MultiHeadGATLayer, self).__init__()
      self.heads = nn.ModuleList()
      for i in range(num_heads):
          self.heads.append(GATLayer(g, in_dim, out_dim))
      self.merge = merge
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GATConv
  import networkx
  from dgl import DGLGraph
  from dgl.data import citation_graph
  import time
  import numpy
label_desc: Use image node_id 1 to create a new MultiHeadGATLayer object from inherited base classes: nn with example: obj = MultiHeadGATLayer(g, in_dim, out_dim, num_heads, merge)